Question: A Non-Parametric Plan Identify Independent and Dependent Variables with Specific Level of Measurement The Kruskal-Wallis test is appropriate to use when there are two or
A Non-Parametric Plan
Identify Independent and Dependent Variables with Specific Level of Measurement
The Kruskal-Wallis test is appropriate to use when there are two or more treatments. Characteristics of 841 triple-negative breast cancer (TNBC) patients. Independent variables; staging of the cancer and the dependent variables are the treatment types based off the staging of TNBC.
Stageranking ChemorankingRadiationranking
I. 211 (25.1%)211-800-100-12
II. 359(42.7%)359-9neo-3434-4missing-2626-3
III. 161(19.1%)161-7neo&adj-7373-5yes-411411-10
IV. 10(2.1%) 10-2missing-189189-700-13
Missing100100 - 6adju-545545-1100-14
T=30 n=5T=25 n=5T=43.5 n=5
The H value is the stage of the tumor versus chemo H=0.2727 (1,N=10).The P value is .60151 the result is not significant.H=0.109*305-33.The H value for Tumor, Chemotherapy, and radiation H=2.495 (2,N=15).The P value is .28722 the result is not significant.H=0.05*1009.9-48.
Null Hypothesis and Research Hypothesis
The null hypothesis of this research study, confirms that the higher the tumor staging at diagnosis is will determine the treatment such as chemotherapy, radiation, or chemotherapy and radiation therapy.The research hypothesis found no association between tumor stage and first line of treatment.
Statistical Analysis with Rationale
The summary table shows the staging of cancer from least to greatest.The current treatment for TNBC is based off of the staging of the disease; stage I no treatment was provided, stage II chemotherapy was provided, stage III chemotherapy and radiation therapy was provided, stage IV no data was available.Stage IV data shows that there is no best treatment option for this stage of the disease.
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